Improving the Detection of Kidney Tumours Using Firefly Algorithm Optimisation
Rajagopal K, V. Sheeja Kumari, S Saraswathy, S. Ponmaniraj, V. Suresh Kumar, A. Deepa · 2024
Accurate and timely diagnosis of kidney tumors is crucial for effective treatment. This study proposes a novel approach utilizing deep learning techniques and the firefly algorithm (FA) to enhance kidney tumor segmentation. By optimizing feature selection and CNN hyperparameters, FA improves the accuracy and efficiency of the detection system. The proposed method involves pre-processing medical images, extracting features using CNNs, and fine-tuning the model with FA. Experiments on a public dataset demonstrate significant improvements in classification metrics compared to traditional methods. The FA-optimized model provides clinicians with a valuable tool for accurate kidney tumor detection and classification, leading to improved patient outcomes.